• Journal of the Society of Disaster Information
• /
• v.16 no.2
• /
• pp.353-363
• /
• 2020

Purpose: The purpose of this study is to verify the effects of assessment and compensation system, information technology, knowledge quality, and knowledge management activities on the earthquake disaster management job performance. Method: Questionnaire survey was performed for the fire officials, and the multi-regression analysis for surveyed data was statistically performed by using SPSS 25.0 program. Result: Information technology, knowledge quality and knowledge management activities among the factors of the knowledge management system related to earthquake disasters have had significant positive effects on the earthquake disaster management job performance, but assessment and compensation system are found to have no significant effects on the earthquake disaster management job performance. Conclusion: It was confirmed that the higher the level of information technology, knowledge quality and knowledge management activities related to earthquake disasters, the higher the disaster management job performance.

• Knowledge Management Research
• /
• v.13 no.2
• /
• pp.53-72
• /
• 2012

Recently, an effective building and utilization of information system are essential in franchise firms as well as corporate management. Accordingly, this study is to examine the structural relationships among partnership quality of supplier, trust with a supplier and commitment, and franchise information system performance based on Henderson's(1990) information system partnership model and Lee and Kim's(1999) partnership model. For these purposes, the authors developed several hypotheses. The data were collected from 173 franchisors and analyzed with SPSS 18.0 and AMOS 18.0 The results are as following. First, sharing knowledge, interdependence, and mutual benefit influence supplier trust, but do not influence commitment. Second, supplier trust affect commitment and it prove that supplier trust is a full mediating role between partnership quality and commitment of franchise and information system supplier. Third, both supplier trust and commitment have a positive effect on performance of franchise information system. Therefore, it implies that supplier trust is significant factor in an performance of franchise information system. At the end of this paper, managerial and theoretical implications, limitations and future research directions were suggested.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2005.10a
• /
• pp.954-957
• /
• 2005

In order to implement Artificial Intelligence, various technologies have been widely used. Artificial Intelligence is applied for many industrial product and machine tools are the center of manufacturing devices in intelligent manufacturing system. The purpose of this paper is to present the construction of Rule Base for knowledge structure that is applicable to machine tools. This system is that decision whether to act in accordance with machine status is support system. It constructs Rule Base of knowledge used of machine toots. The constructed Rule Base facilitates the effective operation and control of machine tools and will provide a systematic way to integrate the expert's knowledge that will apply Intelligent Machine Tools.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.6 no.3
• /
• pp.203-209
• /
• 2010

Since information systems are pervasive in the business and non-business areas, the issue of extending researches on information systems to knowledge systems and e-business systems is one of the most profitable topics of researches. We propose a historical, discontinuous changes introducing ambiguity in explaining and interpreting innovative nature of three paradigms of systems: information systems, knowledge systems, and e-business systems. Resorting to the historical perspective in developing ideas into meaningful themes, we proposed a discrete continuity in interpreting changes of paradigms of systems. Discrete continuity may be explained by ambiguously-shared meaningful perspectives applied to different paradigms of systems and interpretive elements of each system. The discrete continuity has been adopted to make ambiguity utilized have instrumental contribution in researches. The engrafted ambiguity in systems design, development, and use could have enduring instrumental value in interpreting the types or variants of systems in each paradigm of systems.

• Journal of Korean Institute of Industrial Engineers
• /
• v.19 no.3
• /
• pp.3-10
• /
• 1993

The main propulsion system may be the most complicated of the shipboard systems. Many factors such as fuel economy, weight, space, first cost, reliability, vibration and noise must be considered when selecting the prime mover of the main propulsion system for ships. An expert system is a computer program that represents and reasons with knowledge of some specialist subject with a view to solving problems or giving advice. Recently, it is being developed increasingly with wider applications in many industries. This paper describes development of knowledge-based system for main engine selection of ships using general purpose expert system development tool, Nexpert Object. Developed system is consist of ship performance estimation module such as resistance and propulsion, data base for main engine, knowledge base for main engine selection in Nexpert Object and graphic user interface.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.12 no.1
• /
• pp.9-17
• /
• 1992

This paper represents the expert system for selecting the superstructure types of bridges in the part of a preliminary bridge design. The system is implemented with the expert system tool called K-CLIPS which uses the production system for knowledge representation and provides the mechanism of forward chaining. This expert system is composed of a knowledge base, data base and a knowledge module built by the tool which consists of the knowledges on design procedures. During symbolic processing the data base supports the sub system in knowledge base.

• IE interfaces
• /
• v.14 no.2
• /
• pp.164-171
• /
• 2001

We suggest a Business Performance Information System with Knowledge Discovery in Databases(KDD) as a key component of integrated information and knowledge management system. The proposed system measures business performance by considering both VA(Value-Added), which represents stakeholder's point of view and EVA(Economic Value-Added), which represents shareholder's point of view. In modeling of Business Performance Information System, we apply the following KDD processes : Data Warehouse for consistent management of a performance data, On-Line Analytic Processing(OLAP) for multidimensional analysis, Genetic Algorithms for exploring and finding dominant managing factors and Analytic Hierarchy Process(AHP) for applying expert's knowledge and experience. To demonstrate the performance of the system, we conducted a case study using financial data of Korean automobile industry over 16 years from 1981 to 1996, which is taken from database of KISFAS(Korea Investors Services Financial Analysis System).

• The Journal of Information Systems
• /
• v.19 no.2
• /
• pp.37-71
• /
• 2010

This article identifies factors affecting successful ERP systems by focusing on the stages after stabilizing ERP systems and overcoming temporary performance dip by introduction of ERP systems, and suggests change management tactics to control those identified factors. We can not expect that every users are familiar with the usage of an ERP system even after they are informed about the expected advantage of the newly implemented ERP system and trained intensively for changed business process and system usage while implementing a new ERP system. Moreover, even after more than six months usage of the system, the users may still have some trouble due to the reason why they have insufficient information about the expected advantage of the system (recognition gap) and insufficient knowledge about the changed usage of the system (knowledge gap). Hence, this article diagnoses by conducting a case study that those recognition and knowledge gap would have a severe bad influence upon the users' trust and satisfaction on ERP systems. This article suggests an appropriate change management tactics to overcome those recognition and knowledge gap by considering the relationship with the efforts for change management before, during, and after the introduction of ERP systems and performing an in-depth analysis on the users' dissatisfaction and request for update during the stages after the stabilization of the ERP systems. This article also shows a corroborative evidence that these efforts of change management consequently contributes to the solution of users' distrust and dissatisfaction. In sum, this article identifies the factors influencing badly on the magnitude and seriousness of knowledge and recognition gap, and suggests a conceptual research model which says that the satisfaction of ERP users could be uplifted by the solution of their knowledge and recognition gap if we keep making efforts on appropriate change management considering those identified factors during the stages after the stabilization of an ERP system.

• Fashion & Textile Research Journal
• /
• v.11 no.4
• /
• pp.648-660
• /
• 2009

In this research, an expert system has been developed to select optimum well-matched fusible interlinings with a face fabric. First, a database of face fabrics and fusible interlinings has been constructed. And knowledge acquisition has been performed from the previous studies about the properties of fusible interlinings and fused composites as well as fusing prsocess quality control. Then, a rule-based knowledge-base has been constructed through knowledge classification. Finally, we have constructed an inference engine with the knowledge-base. The expert system enables us to easily select optimum fusible interlinings for a face fabric considering high quality fused composites and fashion trend.

• Knowledge Management Research
• /
• v.9 no.2
• /
• pp.109-127
• /
• 2008

This cross-level study of 77 samples from Korean 1st-tier suppliers participating in knowledge-sharing networks examined the impact of partnering(joint establishment of goal and joint problem solving system) on supplier relationship outcomes(competativeness improvement and innovative idea suggestion). The findings showed that joint establishment of goal and joint problem solving system were positively related to both supplier's competativeness improvement and its innovative idea suggestion. Whereas, joint problem solving system did account for a significant variance only in innovative idea suggestion. The findings, further, demonstrated that mutual trust moderated the relationship between joint problem solving system and supplier relationship outcomes. Implications for theory and practice are suggested.